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    • 2019-01-07 09:40:31
    • Article ID: 706055

    Top 10 Discoveries of 2018

    Every year, the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory compiles a list of the biggest advances made by the Lab’s staff scientists, engineers, and visiting researchers. From uncovering mysteries of the universe to building better batteries, here, in no particular order, are our picks for the top 10 discoveries of 2018.

    Small Drops of Perfect Fluid

    Nuclear physicists analyzing data from the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC)—a DOE Office of Science user facility for nuclear physics research at Brookhaven Lab—published additional evidence that collisions of miniscule projectiles with gold nuclei create tiny specks of the perfect fluid that filled the early universe. The ability to create such tiny specks of the primordial soup, known as quark-gluon plasma, could offer insight into the essential properties of this remarkable form of matter and the strong force interactions that hold quarks and gluons together in the visible matter that makes up our world today.

    Key Calculation Related to Neutron Lifetime

    Brookhaven scientists played a central role in developing simulations that contributed to the highest-precision calculation of a fundamental property of neutrons known as the axial coupling. This quantity can be used to more accurately predict how long neutrons are expected to “live,” which is important for understanding how atomic nuclei formed after the “Big Bang” and how the relative abundance of atoms like hydrogen and helium could affect the formation of future stars. The simulations provided input to complex calculations that were run on some of the world’s most powerful supercomputers by an international team that included scientists from several DOE national laboratories.

    Unexplored Territory in Superconductivity Search

    Scientists mapping out the quantum characteristics of superconductors—materials that conduct electricity with no energy loss—used tools at Brookhaven’s new OASIS laboratory to uncover previously inaccessible details of one commonly studied superconductor. The OASIS laboratory allows scientists to study these materials under precisely controlled conditions. The new data includes signals of what happens when superconductivity vanishes under somewhat less-complex conditions than in previously mapped regions of the “phase diagram.” This knowledge might give insight into the essential conditions for triggering superconductivity, and how this promising property might be harnessed for energy-saving applications.

    Single-Atom Catalysts for Clean Energy and Environmental Remediation

    To optimize the efficiency of catalysts—substances that initiate or speed up chemical reactions—scientists have started to break them down into single atoms, increasing their surface area and enhancing their reactive properties. In 2018, Brookhaven scientists discovered several new, single-atom catalysts that break down environmental pollutants and produce clean energy. Two studies identified single-atom catalysts that break down carbon dioxide into building blocks for clean energy—one catalyst made from single nickel atoms, a cheap and abundant material, and one catalyst that reacts in response to sunlight. A third study identified a single-atom catalyst for breaking carbon-fluorine bonds, one of the strongest known chemical bonds and one that is found in polyfluoroalkyl substances, an environmental contaminant widely detected around the world.  

    From Face Recognition to Phase Recognition

    A team including chemists from Brookhaven Lab used an approach analogous to facial-recognition technology to track atomic-scale rearrangements relevant to understanding phase changes, catalytic reactions, and more. The team trained a neural network to recognize features in a material’s x-ray absorption spectrum that are sensitive to the arrangement of atoms at a very fine scale. This method helped reveal details of the atomic-scale rearrangements iron undergoes during an important but poorly understood phase change. The technique can be used to track the subtle atomic-scale shifts that occur at intermediate stages in chemical reactions, and may help scientists design molecules to speed up or direct the reactions they want to produce useful products.

    Longer Lasting Batteries

    By combining electron and x-ray imaging techniques at multiple Brookhaven facilities, scientists made new breakthroughs in the quest to improve lithium-ion batteries—the most common type of battery found in home electronics and a promising solution for grid-scale energy storage. In one study, scientists witnessed, for the first time, how lithium ions move inside individual nanoparticles in batteries, uncovering a surprising behavior and significantly improving scientists’ understanding of how such batteries work. In a second study, scientists developed a new cathode material that could triple the capacity limits of traditional lithium-ion batteries. The results of these studies could help technology companies develop batteries that charge faster and last longer.

    Biochemistry Boosts Plant-Oil Production

    Brookhaven biochemists made several discoveries that could help boost plants’ production of oil to be used as a biofuel or a feedstock for making other useful chemicals. One study identified signals that normally put the brakes on oil production. Disabling these biomolecular brakes could push oil production into high gear. In a second study, the scientists worked out the details of how certain sugar-sensing molecules help regulate the production of oil in plants. They used a fluorescent dye to track molecular interactions and discovered how a previously unknown intermediate molecule helps keep oil production cranking when lots of sugar is around. Understanding these molecular details could lead to new ways to get plants to prioritize the production of oil.

    Computational Advances for Medical Applications

    Computational scientists at Brookhaven have made new advances in machine learning and software design that will help medical professionals provide better treatments to patients. In one study, researchers used machine learning models to diagnose Alzheimer’s disease with 98% accuracy, as well as mild cognitive impairment, a precursor to Alzheimer’s, with 84% accuracy. The finding could help medical professionals diagnose Alzheimer’s at an earlier stage, and therefore delay the progression of the disease significantly. In a second study, computational scientists developed a new software framework that can rapidly evaluate efficacy of new drugs for a variety of diseases. By calculating how strongly compounds bind to target molecules, the software could improve the speed and accuracy of drug discovery in the pharmaceutical industry, as well as individual patient outcomes in clinical settings.

    Precision Prediction of Muon ‘Wobble’

    A team of theoretical physicists released the most precise prediction of how subatomic particles called muons—heavy cousins of electrons—“wobble” off their path in a powerful magnetic field. The calculations take into account how muons interact with all other known particles through three of nature’s four fundamental forces (the strong nuclear force, the weak force, and electromagnetism) while reducing the greatest source of uncertainty in the prediction. The results come just in time for the start of a new experiment measuring the wobble now underway at Fermilab, which should help establish whether a discrepancy between experiment and theory observed at an earlier Brookhaven version of the experiment still stands.

    Engineering New Pathways for Self-Assembled Nanostructures

    Brookhaven researchers helped investigate how “self-assembly”—when molecules are designed to spontaneously come together to form a desired structure or pattern—can be exploited to engineer a nanostructure in a block copolymer, a well-studied and versatile class of self-assembling materials. The scientists used a very specific set of steps dubbed “pathway engineering”—a new approach developed at Brookhaven—to yield self-assembled patterns with long-range nanoscale order in a block copolymer thin film. New techniques like this one, which bridge between the nanoscale and the macroscale, provide useful tools for synthesis of advanced materials with tailored properties.

    Brookhaven National Laboratory is supported by the Office of Science of the U.S. Department of Energy. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov.

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    Machine learning speeds modeling of experiments aimed at capturing fusion energy on Earth to rapidly predict behavior of plasma that fuels fusion reactions

    Machine learning speeds modeling of experiments aimed at capturing fusion energy on Earth to rapidly predict behavior of plasma that fuels fusion reactions

    Release describes application of machine learning form of artificial intelligence to predict the behavior of fusion plasma.

    Record-shattering underwater sound

    Record-shattering underwater sound

    A team of researchers has produced a record-shattering underwater sound with an intensity that eclipses that of a rocket launch. The intensity was equivalent to directing the electrical power of an entire city onto a single square meter, resulting in sound pressures above 270 decibels.

    CosmoGAN: Training a Neural Network to Study Dark Matter

    CosmoGAN: Training a Neural Network to Study Dark Matter

    A Berkeley Lab-led research group is using a deep learning method known as generative adversarial networks to enhance the use of gravitational lensing in the study of dark matter.

    Breakthrough Technique for Studying Gene Expression Takes Root in Plants

    Breakthrough Technique for Studying Gene Expression Takes Root in Plants

    An open-source RNA analysis platform has been successfully used on plant cells for the first time - an advance that could herald a new era of fundamental research and bolster efforts to engineer more efficient food and biofuel crop plants. The technology, called Drop-seq, is a method for measuring the RNA present in individual cells, allowing scientists to see what genes are being expressed and how this relates to the specific functions of different cell types.

    Bio-inspired material targets oceans' uranium stores for sustainable nuclear energy

    Bio-inspired material targets oceans' uranium stores for sustainable nuclear energy

    Scientists have demonstrated a new bio-inspired material for an eco-friendly and cost-effective approach to recovering uranium from seawater. The low-cost polymer adsorbent could help push past bottlenecks in the cost and efficiency of extracting uranium resources from oceans for sustainable energy production.

    Study Concludes Glassy Menagerie of Particles in Beach Sands Near Hiroshima is Fallout Debris from A-Bomb Blast

    Study Concludes Glassy Menagerie of Particles in Beach Sands Near Hiroshima is Fallout Debris from A-Bomb Blast

    A years-long study that involved scientists and experiments at Berkeley Lab and UC Berkeley concluded that an odd assortment of particles found in beach sands in Japan are most likely fallout debris from the 1945 Hiroshima A-bomb blast.

    New technique merging sound and math could help prevent plasma disruptions in fusion facilities

    New technique merging sound and math could help prevent plasma disruptions in fusion facilities

    Scientists have created a novel method for measuring the stability of plasma in fusion facilities called "tokamaks." Involving an innovative use of a mathematical tool, the method might lead to a technique for stabilizing plasma and making fusion reactions more efficient.

    2D insulators with ferromagnetic properties are rare; researchers just identified a new one

    2D insulators with ferromagnetic properties are rare; researchers just identified a new one

    Collaborating scientists at the U.S. Department of Energy's Ames Laboratory, Brookhaven National Laboratory, and Princeton University have discovered a new layered ferromagnetic semiconductor, a rare type of material that holds great promise for next-generation electronic technologies.

    Assessing battery performance: Compared to what?

    Assessing battery performance: Compared to what?

    A team from the U.S. Department of Energy's (DOE) Argonne National Laboratory, University of Warwick, OVO Energy, Hawaii National Energy Institute, and Jaguar Land Rover reviewed the literature on the various methods used around the world to characterize the performance of lithium-ion batteries to provide insight on best practices. Their results may one day lead to more reliably comparable methods for testing lithium-ion batteries tailored to different applications.

    Probing battery hotspots for safer energy storage

    Probing battery hotspots for safer energy storage

    For the first time, a team of researchers has studied the effects of tiny areas within lithium metal batteries that are much hotter than their surroundings. These hotspots, the researchers find, can make batteries grow spiky tumors of metal called dendrites that could cause short circuits, and potentially lead to fires.


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    Cryogenics equipment maker licenses ORNL auto-fill method for more efficient liquid helium use

    Cryogenics equipment maker licenses ORNL auto-fill method for more efficient liquid helium use

    Advanced Research Systems has licensed an ORNL technology designed to automatically refill liquid helium used in laboratory equipment for low-temperature scientific experiments, which will reduce downtime, recover more helium and increase overall efficiency.

    New Argonne coating could have big implications for lithium batteries

    New Argonne coating could have big implications for lithium batteries

    In a new discovery, scientists at the U.S. Department of Energy's (DOE) Argonne National Laboratory have developed a new cathode coating by using an oxidative chemical vapor deposition technique. The new coating can keep the battery's cathode electrically and ionically conductive and ensures that the battery stays safe after many cycles.

    Argonne's Chain Reaction Innovations appoints first advisory council

    Argonne's Chain Reaction Innovations appoints first advisory council

    World-class energy leaders will offer their expertise to Chain Reaction Innovations (CRI), the entrepreneurship program at the U.S. Department of Energy's Argonne National Laboratory, as part of a new Advisory Council announced today. CRI has named 14 Advisory Council members, including investors, industry experts and business executives, to help guide its growth and strategy.

    ORNL, Lincoln Electric to Advance Large-Scale Metal Additive Manufacturing Technology

    ORNL, Lincoln Electric to Advance Large-Scale Metal Additive Manufacturing Technology

    The new agreement builds upon ORNL and Lincoln Electric's previous developments by extending additive technology to new materials, leveraging data analytics and enabling rapid manufacture of metal components in excess of 100 pounds per hour.

    Students from Minnesota and Massachusetts Win DOE's 29th National Science Bowl(r)

    Students from Wayzata High School in Plymouth, Minnesota, won the 2019 U.S. Department of Energy (DOE) National Science Bowl(r) (NSB) today in Washington, D.C. In the middle school competition, students from Jonas Clarke Middle School in Lexington, Massachusetts, took home first place.

    Five new innovators join Chain Reaction Innovations in third cohort

    Five new innovators join Chain Reaction Innovations in third cohort

    Five new innovators will be joining Chain Reaction Innovations (CRI), the entrepreneurship program at the U.S. Department of Energy's (DOE's) Argonne National Laboratory, as part of the elite program's third cohort. Announced on Monday, April 22, these innovators were selected following an extensive national solicitation process and two-part pitch competition, with reviews from industry experts, investors, scientists and engineers.

    Department of Energy Announces $20 Million for Artificial Intelligence Research

    Today, the U.S. Department of Energy (DOE) announced a total of $20 million in funding for innovative research and development in artificial intelligence (A.I.) and machine learning.

    Tim Knewitz named Argonne National Laboratory's Chief Financial Officer

    Tim Knewitz named Argonne National Laboratory's Chief Financial Officer

    The U.S. Department of Energy's Argonne National Laboratory has named Tim Knewitz at its Chief Financial Officer.

    Department of Energy Announces $95 Million for Small Business Research and Development Grants

    U.S. Energy Secretary Rick Perry today announced that the Department of Energy will award 86 grants totaling $95 million to 74 small businesses in 21 states.

    DOE's Science Graduate Student Research Program Selects 70 Students to Pursue Research at DOE Laboratories

    The Department of Energy's (DOE's) Office of Science has selected 70 graduate students from across the nation for its 2018 Solicitation 2 cycle for Office of Science Graduate Student Research (SCGSR) Program.


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    Slow Charge Generation Plays Big Role in Model Material for Solar Cells

    Slow Charge Generation Plays Big Role in Model Material for Solar Cells

    Insight about energy flow in copper-based material could aid in creating efficient molecular electronics.

    Capturing Energy Flow in a Plasma by Measuring Scattered Light

    Capturing Energy Flow in a Plasma by Measuring Scattered Light

    First measurements of heat flux in plasmas experientially sheds light on models relying on classical thermal transport.

    Artificial Intelligence and Deep Learning Accelerate Efforts to Develop Clean, Virtually Limitless Fusion Energy

    Artificial Intelligence and Deep Learning Accelerate Efforts to Develop Clean, Virtually Limitless Fusion Energy

    The Fusion Recurrent Neural Network reliably forecasts disruptive and destructive events in tokamaks.

    Spin Flipper Upends Protons

    Spin Flipper Upends Protons

    The spin direction of protons was reversed, for the first time, using a nine-magnet device, potentially helping tease out details about protons that affect medical imaging and more.

    Splitting Water Fast! Catalyst Works Faster than Mother Nature

    Splitting Water Fast! Catalyst Works Faster than Mother Nature

    Design principles lead to a catalyst that splits water in a low pH environment, vital for generating solar fuels.

    Sea Quark Spin Surprise!

    Sea Quark Spin Surprise!

    Antiquark spin contribution to proton spin depends on flavor, which could help unlock secrets about the nuclear structure of atoms that make up nearly all visible matter in our universe.

    The Weak Side of the Proton

    The Weak Side of the Proton

    A precision measurement of the proton's weak charge narrows the search for new physics.

    Fast-Moving Pairs May Solve 35-Year-Old Mystery

    Fast-Moving Pairs May Solve 35-Year-Old Mystery

    Physicists develop a universal mathematical description that suggests that proton-neutron pairs in a nucleus may explain why their associated quarks have lower average momenta than predicted.

    Team Takes Fluoride from Taps and Toothpaste to Batteries

    Team Takes Fluoride from Taps and Toothpaste to Batteries

    With user facilities, researchers devise novel battery chemistries to help make fluoride batteries a reality.

    Quarks Under Pressure in the Proton

    Quarks Under Pressure in the Proton

    Pressure in the middle of a proton is about 10 times higher than in a neutron star.


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